- From: Simon Cox via GitHub <sysbot+gh@w3.org>
- Date: Mon, 18 Feb 2019 03:33:10 +0000
- To: public-dxwg-wg@w3.org
I agree that DQV is _competent_ to satisfy the requirement, as shown in the examples. However, I'm not sure it is _optimal_ for meeting it in the DCAT context. For example, [the examples](https://www.w3.org/TR/vocab-dqv/#ExpressDatasetAccuracyPrecision) and [the summary above](https://github.com/w3c/dxwg/issues/84#issuecomment-464466483) present multiple kinds of 'spatial resolution'. While these are important for sophisticated users, pushing even the basic case into this structure, and also depending on a subsidiary vocabulary for labels like 'SpatialResolutionAsDistance', adds two additional layers for concepts that are widely relevant and can be easily explained (and also note the dependency on SDMX as well ...). Access to a single summary statistic would help a lot in the initial discovery phase. Interoperability is almost always helped by limiting the options. My proposition ([above](https://github.com/w3c/dxwg/issues/84#issuecomment-464409271)) is that for DCAT to work better for a large number datasets these two statistics might be worth 'promoting' to be first-class properties for datasets corresponding to just these two: - SpatialResolutionAsDistance - TemporalResolutionAsDuration -- GitHub Notification of comment by dr-shorthair Please view or discuss this issue at https://github.com/w3c/dxwg/issues/84#issuecomment-464569986 using your GitHub account
Received on Monday, 18 February 2019 03:33:13 UTC